Imagery from unmanned aerial vehicles for early site specific weed management
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Summary
The tested UAV has shown promising ability for remote sensing for agricultural data collection and enables the acquisition of ultra-high spatial resolution imagery (pixel size 1–5 cm).
- Type
- article
- Published
- 2013-01-01
- Cited by
- 12
- References
- 11
- OpenAlex
- https://openalex.org/W117253472
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:126678600
Keywords
Multispectral image, Remote sensing, Aerial imagery, Aerial survey, Precision agriculture
References
- Precision agriculture ’13
- Weed detection for site-specific weed management: mapping and real-time approaches
- Monitoring vegetation systems in the great plains with ERTS
- FEASIBILITY OF MONITORING COFFEE FIELD RIPENESS WITH AIRBORNE MULTISPECTRAL IMAGERY
- The application of small unmanned aerial systems for precision agriculture: a review
- Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery
- Utility of Multispectral Imagery for Soybean and Weed Species Differentiation
- Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status
- A flexible unmanned aerial vehicle for precision agriculture
- Color indices for weed identification under various soil, residue, and lighting conditions
- Novel algorithms for remote estimation of vegetation fraction
Cited by
- Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
- Weed detection in rice fields using aerial images and neural networks
- Analysis of aerial photographs to predict the spatial distribution of ecological data
- RGB and multispectral UAV image fusion for Gramineae weed detection in rice fields
- Análisis de imágenes multiespectrales adquiridas con vehículos aéreos no tripulados
- Filling the sensor gap: applying UAS technology to land-use research
- Emerging UAV Applications in Agriculture
- DRONE VIDEO CAPTURE – A NEW METHOD IN PRECISION AGRICULTURE
- A Methodology for the Automated Delineation of Crop Tree Crowns from UAV-Based Aerial Imagery by Means of Morphological Image Analysis
- Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data
- Weed Detection in Rainfed Maize Crops Using UAV and PlanetScope Imagery
- Multispectral Image Processing to Assess Sugarcane Nitrogen Needs
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